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Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
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Transport dynamics of complex fluids.

Sanggeun Song1,2,3, Seong Jun Park1,2,3, Minjung Kim4

  • 1Creative Research Initiative Center for Chemical Dynamics in Living Cells, Chung-Ang University, 06974 Seoul, Republic of Korea.

Proceedings of the National Academy of Sciences of the United States of America
|June 9, 2019
PubMed
Summary

This study introduces a new transport equation to quantitatively explain thermal motion in complex fluids, unifying ballistic, subdiffusive, and diffusive behaviors. The model accurately describes mean-square displacement and non-Gaussian parameters across various systems.

Keywords:
colloidal particles on lipid tubecomplex fluidsdiffusion kernel correlationsupercooled waterthermal motion

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Area of Science:

  • Complex Fluids Dynamics
  • Statistical Mechanics
  • Soft Matter Physics

Background:

  • Thermal motion in complex fluids exhibits ballistic, subdiffusive, and diffusive regimes.
  • A unified quantitative understanding of these dynamics remains a significant challenge.
  • Existing models struggle to capture the full complexity of particle transport.

Purpose of the Study:

  • To develop a unified, quantitative explanation for thermal motion in complex fluids.
  • To provide a theoretical framework for understanding mean-square displacement (MSD) and non-Gaussian parameter (NGP).
  • To characterize mobility fluctuations and disorder effects in complex fluid systems.

Main Methods:

  • Developed a novel transport equation and its solutions.
  • Utilized environment-coupled diffusion kernel and time correlation function (TCF) analysis.
  • Model-free analysis of MSD and NGP, and velocity autocorrelation functions.

Main Results:

  • The proposed transport equation successfully explains MSD, NGP, and displacement distributions.
  • A general diffusion kernel model, including unbound and bound modes, accurately describes transport dynamics.
  • Introduced concepts of intrinsic and extrinsic disorder, detailing their impact on transport.

Conclusions:

  • The developed framework offers a unified quantitative explanation for thermal motion in complex fluids.
  • The model provides accurate descriptions for diverse systems like supercooled water and colloidal suspensions.
  • This work opens new avenues for understanding transport phenomena in disordered media.